83 citations · 229 across the 22 of their papers we have counts for
8 papers · 1 filter
Context-Aware Mixture of Domain Experts for Bodily Expression of Emotion in the Wild
Mohammad Mahdi Dehshibi, David Masip
The same body posture can convey entirely different emotions depending on its surrounding context, yet most methods for recognising bodily emotions treat scene and object cues as a…
EigenCoin: sassanid coins classification based on Bhattacharyya distance
Rahele Allahverdi, Mohammad Mahdi Dehshibi, Azam Bastanfard +1
Solving pattern recognition problems using imbalanced databases is a hot topic, which entices researchers to bring it into focus. Therefore, we consider this problem in the applica…
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter +2
Knowledge distillation (KD) remains challenging due to the opaque nature of the knowledge transfer process from a Teacher to a Student, making it difficult to address certain issue…
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions
Mohammad Mahdi Dehshibi, David Masip
In this study, we investigate how environmental factors, specifically the scenes and objects involved, can affect the expression of emotions through body language. To this end, we…
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane +1
To equip Convolutional Neural Networks (CNNs) with explainability, it is essential to interpret how opaque models take specific decisions, understand what causes the errors, improv…
A deep convolutional neural network for classification of Aedes albopictus mosquitoes
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen sc…